This study proposes a framework to measure touristification of consumption spaces, consisting of concentration of retail capital, business displacement and standardization of the consumption landscape. This framework is tested using business registration data and rent price estimates for consumption …

Analyzing historical decision-related data can help support actual operational decision-making processes. Decision mining can be employed for such analysis. This paper proposes the Decision Discovery Framework (DDF) designed to develop, adapt, or select a decision discovery algorithm by outlining specific …

Across Dutch municipalities, unusual collaborative initiatives emerge that aim to stimulate the creation of value from municipal waste resources. Circular economy literature proposes that experimentation competences are important for developing initiatives towards circular business models and a wide …

The potential impact of urban (re)development on the well-being of residents has been recognized in literature (Butcher & Dickens, 2016; Brummet and Reed, 2019), underscoring the need to critically examine one’s approach to studying the so called ‘urban peripheries’. This paper proposes the practice …

In response to the growing challenges posed by climate change and urbanization, this thesis proposes designing a rain garden as a sustainable urban drainage system (SUDS) in Vlissingen, the Netherlands. The primary goal of this project is to create design of a nature-based solution that not only manages …

This research investigates the feasibility and design of an Universal Transition Piece (TP) grillage for Heerema Marine Contractors (HMC) to enhance the efficiency of transporting transition pieces in offshore wind projects. The study addresses the problem of designing unique TP grillages for each project, …

The ongoing technological development of methanol energy converters (EC) towards decarbonization means that their dimensions and performance characteristics will be continually updated during the lifecycle of vessels currently designed. These advancements influence the ease of EC integration within the …

This study proposes a novel loss function for neural network models that explores the topological structure of stock realized volatility (RV) data by adding Wasserstein Distance (WD). The study shows that the proposed loss statistically significantly improves the forecast accuracy of neural network models …

Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …

Contemporary education increasingly involves a blended learning environment, which consists of a combination of offline and online delivery methods. Blended learning environments can motivate students to learn, but designing motivating blended learning environments is challenging and can result in environments …